Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "68" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 46 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 44 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459861 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.071888 | 27.568734 | 0.852956 | 12.276736 | 0.502467 | 3.028632 | 0.309285 | 10.925065 | 0.7119 | 0.0285 | 0.4706 | nan | nan |
| 2459860 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.415810 | 29.864953 | 1.526006 | 36.070036 | -0.049047 | 20.789297 | 0.089986 | 9.238243 | 0.7215 | 0.0286 | 0.5007 | nan | nan |
| 2459859 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.035733 | 26.045310 | 0.917329 | 13.105457 | 0.777671 | 2.580364 | -0.072864 | 6.453437 | 0.7260 | 0.0309 | 0.5040 | nan | nan |
| 2459858 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.408014 | 27.929527 | 0.959302 | 13.506475 | 1.274608 | 2.636721 | 0.621964 | 11.156998 | 0.7349 | 0.0301 | 0.5089 | 2.869991 | 1.115196 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.580098 | 4.892768 | 4.474859 | 7.641562 | 5.043714 | 10.186559 | 10.962688 | 36.002644 | 0.0255 | 0.0204 | 0.0024 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.126202 | 39.884516 | 1.391590 | 33.693849 | -0.139428 | 11.580152 | 0.448483 | 14.292057 | 0.7271 | 0.0321 | 0.4934 | 2.653602 | 1.144830 |
| 2459855 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.157678 | 42.027670 | 1.475353 | 35.411280 | -0.046894 | 4.263309 | 0.311795 | 7.792318 | 0.7102 | 0.0308 | 0.4925 | 2.450447 | 1.120869 |
| 2459854 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.984795 | 41.478495 | 0.712577 | 27.296471 | 0.274638 | 4.371337 | 0.916644 | 13.369009 | 0.7217 | 0.0322 | 0.4896 | 2.450596 | 1.116142 |
| 2459853 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.653387 | 34.583930 | 0.791714 | 37.141266 | 0.339233 | 10.283312 | -0.047142 | 16.170125 | 0.7496 | 0.0324 | 0.5223 | 2.957061 | 1.121148 |
| 2459852 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.280794 | 29.407291 | 0.544983 | 39.489012 | 0.062756 | 19.312562 | 0.010555 | 16.535128 | 0.8377 | 0.0348 | 0.4652 | 4.729099 | 1.131553 |
| 2459851 | digital_ok | 100.00% | 0.00% | 92.37% | 0.00% | 100.00% | 0.00% | 1.847712 | 37.572499 | 0.583386 | 41.164627 | -0.163461 | 41.952550 | 0.133063 | 29.306487 | 0.7736 | 0.0771 | 0.4462 | 3.372055 | 1.182180 |
| 2459850 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.685909 | 38.359822 | 0.668001 | 34.626214 | 0.076368 | 18.772786 | 0.176315 | 26.134501 | 0.7509 | 0.0419 | 0.4666 | 2.664471 | 1.119932 |
| 2459849 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.988331 | 39.885743 | 1.866102 | 68.115569 | -0.019720 | 12.357729 | 1.063025 | 17.645779 | 0.7507 | 0.0359 | 0.4621 | 3.395402 | 1.156508 |
| 2459848 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459847 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.383766 | 39.120639 | -0.475948 | 42.642775 | -0.142898 | 27.770263 | -0.077236 | 8.122488 | 0.7367 | 0.0282 | 0.4958 | 3.165730 | 1.139023 |
| 2459846 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.668357 | 49.428107 | -0.105368 | 46.964832 | -0.362105 | 20.767224 | 0.235791 | 11.505540 | 0.8527 | 0.0292 | 0.5599 | 3.184062 | 1.158829 |
| 2459845 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.156174 | 44.773307 | 0.442027 | 58.100232 | 0.013559 | 15.905683 | 1.217242 | 10.233780 | 0.7338 | 0.0383 | 0.4948 | 3.638665 | 0.823177 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 33.503617 | 11.608340 | 23.850192 | 44.742875 | 3.345283 | 9.178670 | 11.064367 | 44.206295 | 0.0254 | 0.0202 | 0.0025 | nan | nan |
| 2459843 | digital_ok | 100.00% | 0.66% | 100.00% | 0.00% | 100.00% | 0.00% | 5.469558 | 44.830321 | 1.609231 | 28.789323 | 0.685699 | 68.962224 | 1.931203 | 8.088528 | 0.7437 | 0.0310 | 0.4697 | 3.562063 | 1.216694 |
| 2459840 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 71.117882 | 65.005327 | 15.515848 | 16.260656 | 5.023532 | 9.282003 | 17.090199 | 24.399617 | 0.0227 | 0.0198 | 0.0016 | nan | nan |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.107781 | 41.614338 | 2.624121 | 33.473430 | 1.040692 | 28.055644 | -0.171544 | 6.940325 | 0.7625 | 0.0374 | 0.4582 | 5.775157 | 1.251853 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0333 | 0.0328 | 0.0022 | nan | nan |
| 2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.308012 | -0.932991 | 0.054261 | 3.882416 | 0.356295 | 3.824567 | 0.548759 | 3.075567 | 0.0322 | 0.0313 | 0.0015 | nan | nan |
| 2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.847365 | 8.957556 | 7.801666 | 7.042747 | 1.547263 | 2.835400 | 8.723880 | 10.046868 | 0.0250 | 0.0246 | 0.0011 | nan | nan |
| 2459832 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.755629 | 0.984665 | 1.895252 | 0.435833 | 1.917805 | 2.253015 | 0.005353 | 2.261437 | 0.8091 | 0.5700 | 0.5466 | 1.805013 | 1.801631 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.528172 | 16.590712 | 39.849140 | 42.728581 | 2.057609 | 3.137750 | 16.485113 | 21.579004 | 0.0229 | 0.0212 | 0.0014 | nan | nan |
| 2459830 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.280798 | 1.054715 | 2.943337 | 1.643151 | 2.649919 | 5.132762 | 0.348670 | 1.649101 | 0.8098 | 0.5869 | 0.5218 | 4.815321 | 4.530988 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.596359 | 2.042374 | 3.085392 | 4.858339 | 14.403664 | 17.915248 | 3.449397 | 11.330341 | 0.7650 | 0.6890 | 0.3754 | 20.439425 | 17.340923 |
| 2459828 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.942555 | 1.505835 | -0.260115 | 9.322643 | 1.699308 | 5.968515 | 0.564285 | 5.522492 | 0.8096 | 0.5855 | 0.5113 | 4.504674 | 4.762824 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.724386 | 1.406564 | 0.202729 | 10.466520 | 0.388498 | 3.554953 | 0.328102 | -0.299157 | 0.7743 | 0.6928 | 0.3781 | 8.922033 | 9.508836 |
| 2459826 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.567081 | 1.027846 | 0.656463 | 8.919044 | 1.873120 | 5.339033 | -0.157081 | 0.712369 | 0.8080 | 0.6059 | 0.4916 | 6.071136 | 6.500946 |
| 2459825 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.601895 | 0.706287 | -0.020976 | 3.269602 | 0.952072 | 4.956718 | -0.486074 | 1.119662 | 0.8110 | 0.6258 | 0.4869 | 7.220216 | 7.799067 |
| 2459824 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.393584 | 1.411057 | -0.389631 | 3.378787 | -0.053450 | 0.926914 | 0.069960 | 0.740074 | 0.7464 | 0.7601 | 0.3179 | 1.912970 | 1.974894 |
| 2459823 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.486251 | 1.711329 | 1.121924 | 2.410308 | 0.868924 | 1.896999 | -0.843725 | 1.057194 | 0.7840 | 0.6792 | 0.4244 | 1.989428 | 2.039854 |
| 2459822 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.637138 | 0.898933 | 0.425462 | 3.304682 | 1.375359 | 4.000856 | 0.501032 | 0.814695 | 0.8142 | 0.6528 | 0.4777 | 6.475642 | 7.760546 |
| 2459821 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.045337 | 0.588888 | 0.126886 | 3.680864 | 1.333265 | 4.191372 | 0.460960 | 2.197101 | 0.8154 | 0.6778 | 0.4655 | 4.665535 | 4.559945 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.192410 | 1.184471 | -0.059118 | 2.677139 | 3.110297 | 17.175543 | 0.601494 | 1.089188 | 0.7884 | 0.7257 | 0.3782 | 5.042608 | 4.876040 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 44.74% | 0.653606 | 0.583511 | -0.080662 | -0.100655 | -0.185776 | 1.329653 | -0.229239 | -0.422309 | 0.8305 | 0.7194 | 0.4583 | 2.753654 | 3.421898 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.171532 | 0.953705 | -0.083661 | -0.154167 | 0.683593 | 2.070924 | -0.117763 | -0.458911 | 0.8485 | 0.6317 | 0.5558 | 1.928593 | 1.681280 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 7.89% | 0.938687 | 0.637395 | 0.198746 | -0.536887 | 0.641127 | 1.480487 | -0.418399 | -0.362734 | 0.8274 | 0.7318 | 0.4648 | 2.003624 | 1.864972 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.805328 | 2.656853 | -0.361732 | -0.046432 | 3.568880 | 8.794587 | 1.030517 | 0.621377 | 0.8099 | 0.7748 | 0.3625 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 27.568734 | 27.568734 | 2.071888 | 12.276736 | 0.852956 | 3.028632 | 0.502467 | 10.925065 | 0.309285 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 36.070036 | 1.415810 | 29.864953 | 1.526006 | 36.070036 | -0.049047 | 20.789297 | 0.089986 | 9.238243 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 26.045310 | 1.035733 | 26.045310 | 0.917329 | 13.105457 | 0.777671 | 2.580364 | -0.072864 | 6.453437 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 27.929527 | 27.929527 | 1.408014 | 13.506475 | 0.959302 | 2.636721 | 1.274608 | 11.156998 | 0.621964 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Discontinuties | 36.002644 | 4.892768 | 14.580098 | 7.641562 | 4.474859 | 10.186559 | 5.043714 | 36.002644 | 10.962688 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 39.884516 | 2.126202 | 39.884516 | 1.391590 | 33.693849 | -0.139428 | 11.580152 | 0.448483 | 14.292057 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 42.027670 | 42.027670 | 3.157678 | 35.411280 | 1.475353 | 4.263309 | -0.046894 | 7.792318 | 0.311795 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 41.478495 | 41.478495 | 2.984795 | 27.296471 | 0.712577 | 4.371337 | 0.274638 | 13.369009 | 0.916644 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 37.141266 | 34.583930 | 1.653387 | 37.141266 | 0.791714 | 10.283312 | 0.339233 | 16.170125 | -0.047142 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 39.489012 | 0.280794 | 29.407291 | 0.544983 | 39.489012 | 0.062756 | 19.312562 | 0.010555 | 16.535128 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 41.952550 | 1.847712 | 37.572499 | 0.583386 | 41.164627 | -0.163461 | 41.952550 | 0.133063 | 29.306487 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 38.359822 | 2.685909 | 38.359822 | 0.668001 | 34.626214 | 0.076368 | 18.772786 | 0.176315 | 26.134501 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 68.115569 | 2.988331 | 39.885743 | 1.866102 | 68.115569 | -0.019720 | 12.357729 | 1.063025 | 17.645779 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 42.642775 | 39.120639 | 3.383766 | 42.642775 | -0.475948 | 27.770263 | -0.142898 | 8.122488 | -0.077236 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 49.428107 | 1.668357 | 49.428107 | -0.105368 | 46.964832 | -0.362105 | 20.767224 | 0.235791 | 11.505540 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 58.100232 | 44.773307 | 4.156174 | 58.100232 | 0.442027 | 15.905683 | 0.013559 | 10.233780 | 1.217242 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 44.742875 | 33.503617 | 11.608340 | 23.850192 | 44.742875 | 3.345283 | 9.178670 | 11.064367 | 44.206295 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 68.962224 | 44.830321 | 5.469558 | 28.789323 | 1.609231 | 68.962224 | 0.685699 | 8.088528 | 1.931203 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | ee Shape | 71.117882 | 71.117882 | 65.005327 | 15.515848 | 16.260656 | 5.023532 | 9.282003 | 17.090199 | 24.399617 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | 41.614338 | 41.614338 | 3.107781 | 33.473430 | 2.624121 | 28.055644 | 1.040692 | 6.940325 | -0.171544 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 3.882416 | -0.932991 | 1.308012 | 3.882416 | 0.054261 | 3.824567 | 0.356295 | 3.075567 | 0.548759 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Discontinuties | 10.046868 | 8.957556 | 8.847365 | 7.042747 | 7.801666 | 2.835400 | 1.547263 | 10.046868 | 8.723880 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Discontinuties | 2.261437 | 1.755629 | 0.984665 | 1.895252 | 0.435833 | 1.917805 | 2.253015 | 0.005353 | 2.261437 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 42.728581 | 18.528172 | 16.590712 | 39.849140 | 42.728581 | 2.057609 | 3.137750 | 16.485113 | 21.579004 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 5.132762 | 2.280798 | 1.054715 | 2.943337 | 1.643151 | 2.649919 | 5.132762 | 0.348670 | 1.649101 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 17.915248 | 2.042374 | 3.596359 | 4.858339 | 3.085392 | 17.915248 | 14.403664 | 11.330341 | 3.449397 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 9.322643 | 1.505835 | 1.942555 | 9.322643 | -0.260115 | 5.968515 | 1.699308 | 5.522492 | 0.564285 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 10.466520 | 2.724386 | 1.406564 | 0.202729 | 10.466520 | 0.388498 | 3.554953 | 0.328102 | -0.299157 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 8.919044 | 1.027846 | 1.567081 | 8.919044 | 0.656463 | 5.339033 | 1.873120 | 0.712369 | -0.157081 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 4.956718 | 0.706287 | 1.601895 | 3.269602 | -0.020976 | 4.956718 | 0.952072 | 1.119662 | -0.486074 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 3.378787 | 2.393584 | 1.411057 | -0.389631 | 3.378787 | -0.053450 | 0.926914 | 0.069960 | 0.740074 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Power | 2.410308 | 1.711329 | 1.486251 | 2.410308 | 1.121924 | 1.896999 | 0.868924 | 1.057194 | -0.843725 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 4.000856 | 1.637138 | 0.898933 | 0.425462 | 3.304682 | 1.375359 | 4.000856 | 0.501032 | 0.814695 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 4.191372 | 0.588888 | 1.045337 | 3.680864 | 0.126886 | 4.191372 | 1.333265 | 2.197101 | 0.460960 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 17.175543 | 3.192410 | 1.184471 | -0.059118 | 2.677139 | 3.110297 | 17.175543 | 0.601494 | 1.089188 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 1.329653 | 0.653606 | 0.583511 | -0.080662 | -0.100655 | -0.185776 | 1.329653 | -0.229239 | -0.422309 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 2.070924 | 0.953705 | 1.171532 | -0.154167 | -0.083661 | 2.070924 | 0.683593 | -0.458911 | -0.117763 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 1.480487 | 0.637395 | 0.938687 | -0.536887 | 0.198746 | 1.480487 | 0.641127 | -0.362734 | -0.418399 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | N03 | digital_ok | nn Temporal Variability | 8.794587 | 2.656853 | 3.805328 | -0.046432 | -0.361732 | 8.794587 | 3.568880 | 0.621377 | 1.030517 |